.:$InG]-[:. #secops — CS2 Stats

IN76561198055684360[U:1:95418632]Steam profile ↗✓ No bans

4,236Tracked matches48%Win rate2020Tracked since

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating24,378Top 25% of 44,590 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)

CSDB Leaderboard#8702 of 58012 tracked

FaceitLevel 9 · 1,620 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning55

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateLLWLWWWWTL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.0

Aggression8.2

Utility6.0

Positioning5.5

Opening Duels3.2

Clutch3.6

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like donk 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 51% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.0

Positioning5.5

Utility6.0

Mechanics7.1

Opening Duels3.2

Win Impact4.4

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time523ms−37ms

first ⅓ avg 560ms → last ⅓ avg 523ms

Headshot accuracy18.5%−1.9%

first ⅓ avg 20.4% → last ⅓ avg 18.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.12Best rating — ancient 13–4

13–1Biggest win — mirage

6Longest win streak

L2Current streak

10–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 67% over 18anubisWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	16–15	52%	0.02
ancient	A	20	11–9	55%	-0.01
inferno	S	18	12–6	67%	-0.00
anubis	C	14	5–9	36%	-0.02
mirage	B	12	6–6	50%	-0.01
cache	—	3	1–2	33%	-0.05
nuke	—	2	2–0	100%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

948Matches

51%Win rate

1.08Avg K/D

73.6ADR

41%Headshot %

Clutches & streaks

38%1v1 clutch win

18%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	264	58%	1.20	16.5
Mirage	212	50%	1.06	15.8
Ancient	155	45%	0.97	14.5
Inferno	124	48%	0.97	14.8
Anubis	91	43%	0.98	13.9
Cache	22	50%	0.95	13.8
Nuke	18	44%	0.94	13.8
Overpass	10	40%	0.91	14.4

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.4%Headshot accuracy

35.3%Accuracy (enemy spotted)

40.2%Spray accuracy

81.9%Counter-strafing

9.5°Preaim

519msReaction time

34.5%T opening success

51.1%CT opening success

0.61Enemies flashed / flash

7.4%Flash assists

8.52HE damage / grenade

8.22Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 34.5175% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	4–13	-0.01	18%	29 Aug →
ancient	7–13	0.00	13%	25 Aug →
dust2	13–3	0.08	28%	25 Aug →
dust2	5–13	0.02	27%	25 Aug →
inferno	13–8	-0.00	21%	24 Aug →
ancient	13–10	-0.01	16%	24 Aug →
dust2	13–9	0.08	29%	24 Aug →
inferno	13–9	-0.02	10%	22 Aug →
dust2	15–15	0.09	19%	21 Aug →
dust2	11–13	-0.03	10%	20 Aug →
dust2	13–8	0.09	18%	20 Aug →
dust2	11–13	0.00	17%	20 Aug →
anubis	10–13	-0.08	21%	19 Aug →
mirage	3–13	-0.00	13%	19 Aug →
mirage	2–13	-0.03	20%	19 Aug →
ancient	11–13	-0.06	15%	18 Aug →
ancient	2–13	-0.00	10%	17 Aug →
dust2	13–8	0.05	20%	17 Aug →
anubis	5–13	-0.01	12%	17 Aug →
inferno	13–16	-0.03	21%	15 Aug →
dust2	8–13	0.01	16%	15 Aug →
inferno	13–6	0.03	17%	14 Aug →
ancient	13–5	-0.02	22%	14 Aug →
dust2	13–11	0.02	32%	14 Aug →
ancient	13–3	0.01	24%	14 Aug →
nuke	13–11	0.05	23%	14 Aug →
ancient	13–8	0.03	18%	13 Aug →
mirage	5–13	-0.06	7%	13 Aug →
inferno	13–11	-0.03	17%	13 Aug →
anubis	5–13	0.01	19%	13 Aug →
inferno	13–5	0.01	25%	12 Aug →
anubis	13–11	-0.01	18%	11 Aug →
inferno	13–7	-0.05	17%	11 Aug →
dust2	0–13	0.03	100%	11 Aug →
anubis	8–13	-0.02	18%	10 Aug →
mirage	13–16	-0.10	10%	10 Aug →
dust2	13–8	0.01	18%	10 Aug →
dust2	11–13	0.03	33%	9 Aug →
dust2	4–13	0.04	14%	9 Aug →
anubis	13–11	-0.00	20%	9 Aug →
dust2	13–11	0.05	23%	9 Aug →
anubis	4–13	-0.06	10%	7 Aug →
dust2	3–2	-0.11	14%	7 Aug →
ancient	13–3	-0.01	17%	7 Aug →
dust2	11–13	0.00	17%	7 Aug →
ancient	15–15	-0.01	24%	7 Aug →
ancient	13–7	-0.01	25%	6 Aug →
inferno	14–16	-0.02	17%	5 Aug →
anubis	7–13	-0.05	15%	5 Aug →
dust2	1–13	-0.02	0%	4 Aug →
cache	13–6	-0.05	26%	3 Aug →
anubis	11–13	-0.00	20%	2 Aug →
mirage	13–5	0.01	13%	2 Aug →
anubis	13–8	0.03	24%	2 Aug →
mirage	13–8	0.02	25%	1 Aug →
ancient	5–13	0.01	29%	1 Aug →
mirage	13–9	0.03	13%	1 Aug →
dust2	16–12	0.02	31%	31 Jul →
dust2	13–5	0.00	28%	31 Jul →
anubis	17–19	-0.03	13%	31 Jul →
dust2	13–11	-0.01	21%	31 Jul →
inferno	0–13	0.03	50%	30 Jul →
inferno	13–9	0.06	24%	30 Jul →
ancient	13–5	0.07	30%	30 Jul →
mirage	13–1	0.01	17%	30 Jul →
dust2	13–11	-0.04	14%	29 Jul →
dust2	13–10	0.08	37%	29 Jul →
mirage	2–13	-0.05	5%	29 Jul →
inferno	11–13	-0.02	7%	29 Jul →
dust2	15–15	-0.01	21%	29 Jul →
anubis	10–13	-0.05	9%	26 Jul →
mirage	13–9	0.07	21%	26 Jul →
ancient	13–7	-0.01	15%	26 Jul →
ancient	9–13	-0.06	20%	25 Jul →
dust2	0–13	-0.00	0%	25 Jul →
dust2	8–13	-0.04	23%	25 Jul →
inferno	13–11	0.02	14%	25 Jul →
cache	0–4	-0.07	0%	25 Jul →
ancient	13–4	0.12	18%	24 Jul →
ancient	6–13	0.04	13%	24 Jul →
ancient	13–7	-0.05	17%	23 Jul →
dust2	13–8	0.11	43%	22 Jul →
anubis	13–9	0.02	29%	22 Jul →
dust2	13–9	0.03	20%	22 Jul →
ancient	3–0	-0.03	50%	22 Jul →
inferno	9–13	-0.02	16%	22 Jul →
inferno	13–4	-0.05	13%	20 Jul →
inferno	7–13	0.05	42%	19 Jul →
ancient	0–13	-0.06	33%	19 Jul →
dust2	10–13	-0.01	30%	19 Jul →
dust2	13–8	0.06	16%	18 Jul →
dust2	13–7	0.06	23%	18 Jul →
inferno	13–2	0.00	21%	18 Jul →
mirage	0–13	-0.07	0%	18 Jul →
ancient	8–13	-0.05	32%	17 Jul →
inferno	13–11	-0.03	25%	17 Jul →
inferno	13–2	0.05	24%	17 Jul →
nuke	13–6	-0.07	28%	17 Jul →
anubis	13–4	-0.06	20%	17 Jul →
mirage	13–8	0.02	23%	16 Jul →